\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right)
\left(\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot {\left({\cos \left(2 \cdot \left(\pi \cdot u2\right)\right)}^{2}\right)}^{0.3333333333333333}\right) \cdot \sqrt[3]{\cos \left(e^{\log \left(2 \cdot \pi\right) + \log u2}\right)}
(FPCore (cosTheta_i u1 u2) :precision binary32 (* (sqrt (- (log (- 1.0 u1)))) (cos (* (* 2.0 PI) u2))))
(FPCore (cosTheta_i u1 u2) :precision binary32 (* (* (sqrt (- (log1p (- u1)))) (pow (pow (cos (* 2.0 (* PI u2))) 2.0) 0.3333333333333333)) (cbrt (cos (exp (+ (log (* 2.0 PI)) (log u2)))))))
float code(float cosTheta_i, float u1, float u2) {
return sqrtf(-logf(1.0f - u1)) * cosf((2.0f * ((float) M_PI)) * u2);
}
float code(float cosTheta_i, float u1, float u2) {
return (sqrtf(-log1pf(-u1)) * powf(powf(cosf(2.0f * (((float) M_PI) * u2)), 2.0f), 0.3333333333333333f)) * cbrtf(cosf(expf(logf(2.0f * ((float) M_PI)) + logf(u2))));
}



Bits error versus cosTheta_i



Bits error versus u1



Bits error versus u2
Results
Initial program 13.5
Simplified0.3
Applied add-exp-log_binary320.3
Applied add-exp-log_binary320.4
Applied prod-exp_binary320.3
Applied add-cube-cbrt_binary320.5
Applied associate-*r*_binary320.5
Simplified0.4
Taylor expanded in u2 around inf 0.3
Final simplification0.3
herbie shell --seed 2021329
(FPCore (cosTheta_i u1 u2)
:name "Beckmann Sample, near normal, slope_x"
:precision binary32
:pre (and (and (and (> cosTheta_i 0.9999) (<= cosTheta_i 1.0)) (and (<= 2.328306437e-10 u1) (<= u1 1.0))) (and (<= 2.328306437e-10 u2) (<= u2 1.0)))
(* (sqrt (- (log (- 1.0 u1)))) (cos (* (* 2.0 PI) u2))))